The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
signal_sd: double
reps: int64
mean_r2_vs_hist: double
reject_vs_hist: double
mean_r2_vs_shrink: double
reject_vs_shrink: double
vs
signal_sd: double
seed: int64
r2_vs_hist_pct: double
cw_t_hist: double
r2_vs_shrink_pct: double
cw_t_shrink: double
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 606, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
signal_sd: double
reps: int64
mean_r2_vs_hist: double
reject_vs_hist: double
mean_r2_vs_shrink: double
reject_vs_shrink: double
vs
signal_sd: double
seed: int64
r2_vs_hist_pct: double
cw_t_hist: double
r2_vs_shrink_pct: double
cw_t_shrink: doubleNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Open Economic & Quant Research Data
Versioned research data for CasualLab, Macroeconomics, Mortgage Rate Lock-In and Housing Market Dynamics, Tariff Incidence, Order Flow to Price Impact, Emerging-Market Factor Timing, Polymarket Cross-Sectional Factor Study, and Crypto Factor Zoo and Post-Publication Audit, including publishable data, fixtures, reports, and reproducibility documentation.
Project code, tests, and run configuration live in the GitHub repositories listed under Related resources. dataset_manifest.json describes the 8-project release.
Repository structure
CasualLab/: causal inference and policy-simulation research content.Macroeconomics/: vintage-aware forecasting and public-source adapter research content.RealEstate/: housing-finance research on mortgage lock-in, mortgage exits, local activity, prices, and construction. Registered loan-level records and loan-granular derivatives are excluded.TariffIncidence/: official-data research on U.S. Section 301 tariff pass-through, sourcing reallocation, and domestic input-output propagation. Large raw, intermediate, analytical, and parquet result files are excluded from the public package.Microstructure/: research-only market-microstructure protocols, reports, and documentation. Exchange observations, normalized or derived tables, fitted states, ingestion authorities, and generated run bundles are excluded.EMFactorTiming/: emerging-market factor timing out-of-sample evaluation tables, JKP coverage metadata, and shrinkage benchmark reports across 21 emerging and 23 developed markets.PolymarketFactors/: binary contract artifact funnel tables, price-neutralized factor IC summaries, category reversal diagnostics, and sample market fixtures.CryptoFactors/: equity-to-perpetual factor transfer tables, a Benjamini-Hochberg FDR demonstration on a 10-date sample fixture, post-publication out-of-sample decay diagnostics, and sample perpetual panel fixtures. Published long-short tables charged about 2.5 bp per side instead of the stated 5 bp; see the project README's cost erratum.dataset_manifest.json: file counts, exclusions, and release metadata for the 8-project release.
Supported uses
Reproducibility review, economics and quantitative-method research, public fixture exploration, and development of documented derivatives. The repository is not a single homogeneous machine-learning table; inspect each project README and schema before loading files.
Sources and processing
Each project retains its own provenance notes. Raw third-party sources remain subject to provider terms. Local Python environments, package installations, caches, bytecode, and operating-system metadata are excluded because they are not research data.
Licensing
Project-owned fixtures and documentation follow project-local terms; code terms are in each GitHub repository. Third-party data and dependencies retain their original terms. Inclusion in this versioned mirror does not grant a new license. Assets without confirmed redistribution terms remain marked RIGHTS_UNKNOWN in the observatory governance records.
Limitations
- File types and schemas vary by project.
- Some raw source rights require independent review.
- Updated numerical comparisons are published only with benchmark and validation evidence.
- Use a pinned Dataset revision for reproducible analysis.
Related resources
- Website: https://yangxiaoshawn.github.io/
- Unified monorepo: https://github.com/YangXiaoShawn/open-economic-quant
- CasualLab repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/CasualLab
- Macroeconomics repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/Macroeconomics
- Mortgage Rate Lock-In repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/RealEstate
- Tariff Incidence repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/TariffIncidence
- Microstructure repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/Microstructure
- Emerging-Market Factor Timing repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/EMFactorTiming
- Polymarket Factors repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/PolymarketFactors
- Crypto Factors repository: https://github.com/YangXiaoShawn/open-economic-quant/tree/main/CryptoFactors
- Website repository: https://github.com/YangXiaoShawn/YangXiaoShawn.github.io
- Interactive observatory: https://huggingface.co/spaces/ShawnChamberlain/open-economic-quant-research-observatory
Citation
Cite the observatory, this Dataset revision, the relevant project, and every original data provider used in an analysis.
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